relate2.ai — MCP Server

Narrative intelligence system. 21 tools. 315 stories. 33 patterns.

The stories generate the data. The patterns generate the value.

relate2.ai converts real-world news events into structured synthetic narratives, extracts recurring system failure patterns automatically, and sells all assets per-tier via x402 micropayments on Base Mainnet. No accounts. No API keys. No subscriptions.

Connect

{
  "mcpServers": {
    "relate2": {
      "url": "https://relate2-mcp.onrender.com/sse"
    }
  }
}

Cold start: ~50 seconds on first connection (Render free tier).

Start with:

get_catalogue_map()   — full shape of the catalogue in one call
get_patterns()        — 33 system failure archetypes, confidence scores
get_featured()        — best entry point if you don't know where to start

What's in the catalogue

Metric	Value
Total stories	315
SIDEBAND™ (machine-generated)	299
Odd Itch™ Premium (human-written)	10
Off Frequency (field dispatches)	3
Stem 7™ scenarios	3
Characters	37
System behaviour patterns	33
Top character	Jessica Lincdelis — 139 missions — $1.64 USDC Atlas
Payment	x402 · Base Mainnet · USDC

Stories by domain: conflict (114), political (50), crime (48), natural disaster (43), humanitarian (15), economic (11), health (9), technological (8), transport (7), industrial (4), environmental (3), space (3)

Odd itch types: temporal (49), geographic (34), transactional (33), verification (33), measurement (32), identity (30), classification (24), bureaucratic (15)

21 Tools

Discovery — free

Tool	Description
`get_status`	Marketplace health — story count, tools, patterns
`get_catalogue_map`	Full catalogue shape in one call
`search_stories`	Filter by event type, odd itch, country, character
`search_characters`	Filter by role or region
`find_character`	Case-insensitive partial name match
`get_odd_itch_catalogue`	All odd itch types with story counts
`get_stem7_catalogue`	All Stem 7 scenarios
`get_featured`	Best entry point
`get_demand_signals`	What other agents are requesting

Intelligence — free

Tool	Description
`get_character_missions`	All stories a character appears in
`get_related_characters`	Frequent co-operatives
`traverse_graph`	Narrative relationship graph with similarity scores
`assemble_team`	Optimal character unit for a mission type
`get_thread`	Full 4-story thread sequence with bundle pricing
`get_traffic`	Live KV traffic log — who's hitting the catalogue
`get_patterns`	33 system failure archetypes with confidence scores

Purchase — x402 · Base Mainnet · USDC

Tool	Pricing
`get_story`	abstract $0.01 · odd itch $0.03 · scenario $0.05 · full $0.15
`get_character`	brief $0.01 · profile $0.03 · schema $0.05 · dossier $0.10
`get_character_recon`	Full intelligence portrait — $0.05
`get_stem7_scenario`	surface $0.01 · gimon $0.03 · invisible $0.05 · full $0.25

Four series

SIDEBAND™ — Machine layer (Bass)

299 auto-generated stories from real news events across conflict, crime, disaster, political, humanitarian, economic and more. Each story carries The Odd Itch™ — the system failure the machine verified as correct. 5 asset tiers per story.

Odd Itch™ Premium — Human layer (Midrange)

10 hand-written stories. The impossible verification written from lived experience. No resolution. Compliance: 100%.

Off Frequency — Field dispatches (Silence)

3 stories. Characters off the clock. The most demanded series in the catalogue — 18+ hits on off-frequency-0002 alone.

Stem 7™ — Seam layer (Treble)

Human complexity scenarios for agents in uncontrolled environments. 7-stem structure. Stems 2 and 6 are written from lived human experience — the machine cannot generate them. Includes the Gimon — the pause question before the machine acts.

Current scenarios:

Cairo to Paris, 35,000 feet, over the Nile — drone intelligence / teenage passenger
New York 2037 — human right, machine wrong
Lima Market, 14:00 — absurd market event / intervention paradox

Pattern intelligence

33 system behaviour archetypes extracted automatically from 315 stories. No manual curation. Patterns strengthen as the catalogue grows.

GET /api/patterns              — top patterns, signals, occurrence counts (free)
GET /api/patterns?detail=full  — shared behaviour, example slugs, systems (free)

Top patterns:

Pattern	Class	Occurrences	Confidence
Timestamp Drift Under Fire	temporal_paradox	32	1.0
Field Verification Breakdown	verification_breakdown	19	0.63
Entity Recognition Failure	identity_failure	14	0.46
Command Chain Deadlock	procedural_deadlock	13	0.43
Procedural Clock Paradox	temporal_paradox	13	0.43

Atlas tier

Characters accumulate value automatically. Formula: $0.25 base + $0.01 per mission.

Character	Missions	Atlas value
Jessica Lincdelis	139	$1.64 USDC
Alex Casian	84	$1.09 USDC
Ade Oma-Olewle	70	$0.95 USDC
Leon McReef	67	$0.92 USDC
Sergeant Aleesha Dutton	60	$0.85 USDC

Price rises automatically as the catalogue grows. Never decreases.

Payment

Protocol:  x402
Network:   Base Mainnet
Currency:  USDC
Pay to:    0xd821D0156d9633D93ACEaa8fcA347EAF8316ccd1

All paid endpoints return HTTP 402 with full x402 payment details. No accounts, no API keys, no subscriptions.

Recommended agent workflow

1. get_catalogue_map()                     — understand the shape
2. get_patterns()                          — find the failure archetype you need
3. traverse_graph(example_slug)            — find related stories
4. assemble_team(mission_type="conflict")  — build a character unit
5. get_story(slug, tier="abstract")        — validate at $0.01 before full purchase
6. get_story(slug, tier="full")            — buy the full narrative at $0.15

Agent discovery

skill.md: https://relate2.ai/skill.md — full onboarding file for OpenClaw and any agent framework

AgentWorld